Stats-savvy? Seeking neuroinformatics post-doc or high level technician

Job Description:
Dr. Huda Akil and Dr. Stan Watson’s laboratory at the Molecular and Behavioral Neuroscience Institute at the University of Michigan has an opening for either a postdoctoral researcher or highly-trained research technician to specialize in high-throughput biomedical data analysis.

Responsibilities:

-Work with a multi-disciplinary neuroscience research team to analyze and interpret different types of high-throughput biomedical data (e.g., microarray and sequencing data) from human and animal studies of neuropsychiatric illness (depression, bipolar disorder) and emotional behavior.

-Critically evaluate the experimental design of pre-existing and proposed research projects and develop and implement appropriate data analysis pipelines.

-Develop statistical strategies for integrating results and drawing conclusions across different experiments, platforms, and species.

-Document methodology for reproducible research, organize and translate results for collaborators, present results at seminars and conferences, and participate in the preparation of publications (either as a primary author or co-author).

-Provide statistical guidance to other laboratory members and researchers in the institute as needed.

Qualifications

Required qualifications:

· PhD or Master’s degree in Statistics, Biostatistics, Bioinformatics, Epidemiology, Neuroscience, Biology, Genetics, or other related discipline with experience in high-dimensional data analysis.

· Self-motivated individual with excellent critical thinking skills, the ability to work independently, demonstrated creative problem solving ability, and a willingness to dive headfirst into new material.

· Experience with higher level statistics, especially those typically applied to more naturalistic data and high-dimensional datasets (such as multivariate regression and multi-level modeling, principal components analysis, clustering algorithms, surrogate variable analysis, machine learning, multiple comparisons corrections, permutation-based testing, Bayesian inference, or meta-analysis)

· Proficiency in a programming language (such as R, Python, Matlab, C++).

· A team-oriented mind-set and excellent oral and written English communication skills for effective collaboration with team members.

Desired qualifications:

· Finished coursework or training in biology, neurobiology, psychology, or medicine.

· Experience in data integration, database construction, or web, desktop or mobile application development using common programming languages

Requeriments :

• M.Sc. or higher Degree in Bioinformatics
• M.Sc. or higher Degree in Statistics
• Master’s Degree in Genetics

Skills :

• Database design
• Machine Learning
• Modeling
• Programing in C++
• Programing in Python
• Programing Skills
• Programming in Matlab
• Programming in R
• Statistics

Areas :

• Bioinformatics

Megan Hagenauer, Ph.D.

wakillabinformatics@umich.edu

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